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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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/funding reference: PID2021-124030NB-C31 Job title: Optimization, learning, and cooperation with applications in logistics Research line / Scientific-technical services: Optimization in transportation and
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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: Optimization of Innovative Air Mobility Networks Operating Supervisor: Prof. Dr.-Ing Hartmut Fricke, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional
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patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and critical care converge to shape the future of life-saving therapy. PhD Position
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the schools other career-related programming and initiatives. The Assistant Director will optimize seamless student support by documenting student meetings and verbal conversations in our Career Management
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: The PhD Researcher will be responsible for the development of sustainable inks based on metal oxide nanostructures and two-dimensional (2D) materials, as well as for the optimization of the corresponding
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DrugS offers talented young scientists a three-year structured PhD training programme in the field of drug research related to biomedical disciplines. BIGS DrugS students work on their individual PhD
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compromising operational safety. The AI systems to be explored may include: AI-based weather-routing for determining optimal routes under changing conditions AI-based wind-assisted propulsion decision support
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the inductive heating of heterogeneous catalysts as an integral advantage. Your focus will be on the investigation, development, and optimization of this new process in a continuously operated reaction